Kim, J.-I.; Yu, G.-H.; Lee, J.; Vu, D.T.; Kim, J.-H.; Park, H.-S.; Kim, J.-Y.; Hong, S.-H.
EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model. Appl. Sci. 2023, 13, 3505.
https://doi.org/10.3390/app13063505
AMA Style
Kim J-I, Yu G-H, Lee J, Vu DT, Kim J-H, Park H-S, Kim J-Y, Hong S-H.
EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model. Applied Sciences. 2023; 13(6):3505.
https://doi.org/10.3390/app13063505
Chicago/Turabian Style
Kim, Jong-In, Gwang-Hyun Yu, Jin Lee, Dang Thanh Vu, Jung-Hyun Kim, Hyun-Sun Park, Jin-Young Kim, and Sung-Hoon Hong.
2023. "EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model" Applied Sciences 13, no. 6: 3505.
https://doi.org/10.3390/app13063505
APA Style
Kim, J. -I., Yu, G. -H., Lee, J., Vu, D. T., Kim, J. -H., Park, H. -S., Kim, J. -Y., & Hong, S. -H.
(2023). EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model. Applied Sciences, 13(6), 3505.
https://doi.org/10.3390/app13063505